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Risk Analytics (Risk Management)

3.00 to 8.00 Years   Mumbai City   22 Jul, 2022
Morgan Stanley Advantage Services Pvt Ltd
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaRisk / UnderwritingGeneral / Other Software
EmploymentTypeFull-time

Job Description

    *Primary Responsibilities include, but are not limited to: Participate in modeling, development, and implementation of credit risk models. Programming of prototypes/production code (within an established C++/Python/Matlab libraries) which will be productionized. Program, test and implement quantitative financial methods using Python, C++, VBA, R, Matlab and SQL Perform analysis including model recalibrations, back-tests, stress tests, scenario and sensitivity analyses. Research, development, enhancement, and documentation of IMM Counterparty credit risk, methodologies, and tools for regulatory and risk management purposes Utilize advanced statistics, econometrics and mathematics skills including probability theory, stochastic calculus, Monte Carlo simulation, numerical analysis, optimization techniques and time series analysis. Work with Technology on model testing, implementation, and production. Work with risk managers and other stakeholders to address their requests for additional analysis based on specific needs as they arise. Participate in Regulatory and validation exams by providing documentation and responses to regulators and internal validators. Perform Quantitative/Econometric Analysis to ensure appropriate modeling and capture of risk, regulatory capital calculation and ongoing compliance with regulatory requirements., *Skills Required 3 to 8 years of work experience in quantitative modeling and Risk Management Analytical skills and ability to work with diverse cultures in a global team. Strong knowledge of financial traded products e.g. derivatives and their pricing. Hands-on experience in one of the programming languages Python, C# or C++ Excellent communication skills (Oral and written). Ability to communicate and present logically, precisely and in simple manner, complex and technical issues. Attention to details and ability to work under pressure and cope with a fast-moving environment.Required Qualifications Graduate/Masters/Advance degrees in finance, mathematics, physics econometrics, engineering, or other quantitative subjects from Tier-1 university Candidates should have a strong theoretical foundation in mathematics, quantitative finance, and derivatives.Desirable Skillsets FRM, CFA, CQF certification is an advantage. Quantitative modeling experience in Finance/ Data Science Knowledge of risk mitigation practices and experience with Basel II/III/IV rules will be considered advantageous. Experience in one of the following AI, ML, NLP, Big Data Analytics, Tableau is an advantage.

Keyskills :
big data analyticsmonte carlo simulationenvironmental impact assessmentbig datacredit risktime seriesdata analyticsrisk managementrisk mitigationanalytical skillscommercial models

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